create-agent-python

# Create a Python Agent Application ## Overview This skill describes how to create a durable AI agent application in Python. Two paths are supported: - **Native** — the [`dapr-agents`](https://github.com/dapr/dapr-agents) SDK. This is the Dapr Agents framework proper; it is Python-only. Its `DurableAgent` runs on Dapr Workflow, reaches the LLM through a Dapr conversation component, and persists conversation memory in a Dapr state store. - **Framework wrappers** — the [`diagrid`](https://pypi.org/project/diagrid/) distribution, which runs an agent you have already written in another framework (LangGraph, CrewAI, Strands, …) on Dapr Workflow so that each node / LLM call / tool call becomes a durable activity. One distribution, one extra per framework. Single agent or coordinator + specialists, either way. ## Execution Order You MUST follow these phases in strict order: 1. **Check specification** — Check if the user specified what needs to be built. 2. **Project Setup** — Create all files and folders. 3. **Verify** — Verify that the project builds. 4. **Create README.md** — Create a readme that summarizes what is built and how to run & test the application. Do not provide instructions at the end of this phase. 5. **Show final message** — Your LAST output MUST be EXACTLY the message defined in the `## Show final message` section. Do NOT add any other text, summary, or commentary after it. ## Check specification If you don't have enough context what to build, ask the user ...